DEVELOPMENT AND IMPLEMENTATION OF A SINGLE INDUCTOR MULTI-PORT CONVERTER FOR EV APPLICATIONS WITH ACTIVE GRID PARTICIPATION AND NETWORK-DRIVEN HARMONIC SUPPRESSION

Abstract

The growing demand for electric vehicles (EVs) and the integration of renewable energy sources into the grid necessitate efficient power conversion systems that support bidirectional energy flow. This paper introduces a single inductor multi-port power converter designed for EV applications, which allows for seamless connection between the EV battery, the grid, and renewable energy sources such as solar PV. The converter operates with a neuro-fuzzy controller to optimize power management, ensuring stable and efficient energy flow between the different ports. The single inductor multi-port converter consolidates the power conversion stages, reducing component count, cost, and size while enhancing efficiency. The converter facilitates grid-to-vehicle (G2V) and vehicle-to-grid (V2G) power transfer, as well as energy exchange with renewable energy sources and energy storage systems. The neuro-fuzzy controller combines the advantages of neural networks and fuzzy logic, providing adaptive control for real-time power regulation, voltage stabilization, and current management under varying load and grid conditions. The neuro-fuzzy control algorithm adapts to changing environmental conditions, such as fluctuating solar irradiance or grid disturbances, and optimizes the charging and discharging cycles of the EV battery to ensure efficient energy usage and minimize power loss. Simulation and experimental results demonstrate that the proposed system provides high efficiency, reliable performance, and flexible operation for gridconnected EV charging and integrated renewable energy systems